Paretix

Paretix - Data Scientist (Predictive Fraud & Credit Risk Modeling)

At Paretix, I worked as a Data Scientist developing machine learning models that enabled banks to make smarter and safer lending decisions. Using complex financial datasets provided by partner banks, I designed, built, and validated predictive models for:

• Loan default risk
• Fraudulent loan application detection

My work involved close collaboration with product, engineering, and business teams to ensure the models accurately reflected both market behavior and customer needs. I routinely presented findings to senior management, explaining technical outcomes in clear business terms to support risk-based decision making.

I was also responsible for model retraining, optimization, and deployment into production, maintaining continuous performance improvements as new data emerged.

This role strengthened my ability to transform financial data into actionable intelligence, directly reducing financial risk and preventing fraud at scale.